Senior Data Engineer

About Spokeo:

Spokeo is a people intelligence platform that helps over 18 million monthly visitors reconnect with friends, reunite with families, and build trust in new relationships. Thousands of companies also trust Spokeo’s 60 billion public records to improve customer research, help verify information, and prevent fraud.

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 years. It has earned recognition from Comparably as a Best Company for Compensation, Employee Happiness, Perks and Benefits, Support for Women, Work-Life Balance, and CEO Leadership.

About this Opportunity

As a Senior Data Engineer at Spokeo, you will develop, optimize, and improve our data systems such as ETL data, pipeline, storage, and entity resolution. This involves working with infrastructure built in AWS, including Airflow, PySpark, EMR, S3, DynamoDB, and more. This role will help build and improve data products, automation platform features, analytical software packages, and data pipeline orchestration tools.

What You’ll Do:

• Build infrastructure and data automation pipelines for the ingestion, processing, and loading of data from various sources. Automate and integrate new components into the data pipeline.

• Collaborate with stakeholders and data science teams to develop data products, including entity resolution and best selection, to efficiently execute product vision and strategy in alignment with organizational goals and priorities.

• Collaborated with Data Scientists and ML Engineers to design, build, and maintain scalable data pipelines and infrastructure to support end-to-end machine learning workflows (development, training, deployment, and monitoring).

• Create unit and stress test components to monitor technical performance and ensure identified issues are resolved.

• Develop data analysis tools to provide data insights and capture key metrics.

• Research solutions and maintain technical documentation.

• Follow best practices for data governance, quality, cleansing, and other ETL-related activities.

Who You Are:

• 7+ years of development experience in data engineering within a production environment (internships and academic settings excluded).

• Proven experience working with large datasets exceeding 100M+ records or multiple terabytes.

• 2+ years of development experience in highly scalable, distributed systems and cluster architectures using AWS.

• 5+ years of hands-on programming experience with Python.

• 5+ years of professional experience working in big data ecosystems, Spark is required; PySpark is preferable.

• 3+ years of experience with SQL, schema design, and dimensional data modeling.

• 2+ years of professional experience working with dataflow orchestration tools, such as Airflow.

• 2+ years of experience with non-relational databases (e.g., DynamoDB, Elasticsearch, etc.).

• A bachelor’s degree in Computer Science, Information Systems, Mathematics, or a related field is required.

Working at Spokeo

Our mission is to advance transparency, and to achieve that goal, we rally around six core values: listening with empathy, understanding the why, clarifying with data, innovating to learn, collaborating to achieve, and insisting on quality.

As a remote-first company, we are able to hire team members residing in the following US states: AZ, CA, CO, FL, GA, KY, MD, MI, MO, NJ, NV, NC, PA, SC, SD, TX, VA, WA, or WY.

In addition to a highly competitive base salary, our generous benefits include:

• annual bonus program

• stock options

• 401K matching

• 100% medical/dental/vision coverage

• unlimited PTO

• mental health resources

• paid home office equipment

• fitness reimbursements

• support paying for courses

• and more

We extend written offers to candidates who successfully complete their selection process. Offers will depend on several factors, including, but not limited to, marketplace competition, job leveling, experience, and skills.

Note: All candidates must be authorized to work in the U.S. without the need for current or future sponsorship. Spokeo will not sponsor or take over sponsorship of employment visas at this time.

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